Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPAMI.2012.104
Title: CoSLAM: Collaborative visual SLAM in dynamic environments
Authors: Zou, D.
Tan, P. 
Keywords: dynamic environments
structure-from-motion
swarm
Visual SLAM
Issue Date: 2013
Source: Zou, D., Tan, P. (2013). CoSLAM: Collaborative visual SLAM in dynamic environments. IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (2) : 354-366. ScholarBank@NUS Repository. https://doi.org/10.1109/TPAMI.2012.104
Abstract: This paper studies the problem of vision-based simultaneous localization and mapping (SLAM) in dynamic environments with multiple cameras. These cameras move independently and can be mounted on different platforms. All cameras work together to build a global map, including 3D positions of static background points and trajectories of moving foreground points. We introduce intercamera pose estimation and intercamera mapping to deal with dynamic objects in the localization and mapping process. To further enhance the system robustness, we maintain the position uncertainty of each map point. To facilitate intercamera operations, we cluster cameras into groups according to their view overlap, and manage the split and merge of camera groups in real time. Experimental results demonstrate that our system can work robustly in highly dynamic environments and produce more accurate results in static environments. © 2012 IEEE.
Source Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/55461
ISSN: 01628828
DOI: 10.1109/TPAMI.2012.104
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